Contract Edit Detection Templates for Multi-Party Merge Conflicts
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Solution Overview
Problem
Current smart contract platforms lack an efficient mechanism to automatically detect and resolve conflicts in edits made by multiple parties to a media file, leading to confusion and human error in maintaining regulatory compliance.
Innovation Solution
A workflow platform that uses markers to delineate key portions of a media file, performs a three-way merge, and applies algorithms to resolve conflicts, providing conflict resolution options to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review by controlling party is used to detect and correct errors, then regulatory compliance can be maintained, but the process is slow and exposed to human error
Solution Approach 1:
The patent replaces the manual mechanical review process with an automated computer-based system that uses algorithms and machine learning models to detect errors, conflicts, and compliance issues in contract documents, thereby eliminating human error and acceleration the review process
Solution Approach 2:
The system enables self-service by automatically detecting and flagging errors, conflicts, and compliance issues without requiring manual intervention, allowing the contract review process to be performed autonomously by the platform itself
2Reliability
If controlling party manually accepts or rejects edits to maintain regulation or technical standard, then compliance is maintained, but the process is slow and exposed to human error
Solution Approach 1:
The patent replaces manual acceptance/rejection of edits with an automated system that uses algorithms to analyze proposed changes, detect compliance issues, and automatically approve or reject edits based on pre-defined rules and regulatory standards
Solution Approach 2:
The system implements feedback mechanisms by automatically analyzing edits against regulatory standards and providing real-time feedback to the controlling party, enabling rapid decision-making while maintaining compliance
3Productivity
If three-way merge is performed to combine edited versions, then merged media file can be generated, but conflicts between edits need to be detected and resolved
Solution Approach 1:
The patent replaces manual conflict detection with an automated algorithmic system that uses text analysis, natural language processing, and machine learning to identify conflicts between different edits, making the detection process both efficient and accurate
Solution Approach 2:
The system introduces an intermediary conflict detection and resolution layer that automatically analyzes edits from multiple parties, identifies conflicts, and provides suggested resolutions or prompts users for decision-making
Data Source
AI summary
Various aspects of the subject technology relate to systems, methods, and machine-readable media for detecting changes to uploaded documents in a workflow platform. Various aspects may include determining changes between various versions of a media file. Aspects may include detecting what portions of the media file change relative to different instances of the various media file versions. Aspects may also include updating a template element to incorporate the changes to the portions of the media file so that the template element may be used to regenerate a new version of the media file with the incorporated changes being reflected by the template element. Aspects may include determining a new location of text within a portion of the media file that is changed between versions of the media file.